DocumentCode :
2449045
Title :
Real time 3D face pose discrimination based on active IR illumination
Author :
Ji, Qiang ; Yang, Xiaojie
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
4
fYear :
2002
fDate :
2002
Firstpage :
310
Abstract :
In this paper, we introduce a new approach for real-time 3D face pose discrimination based on active IR illumination from a monocular view of the camera. Under IR illumination, the pupils appear bright. We develop algorithms for efficient and robust detection and tracking of pupils in real time. Based on the geometric distortions of pupils under different face orientations, an eigen eye feature space is built based on training data that captures the relationship between 3D face orientation and the geometric features of the pupils. The 3D face pose for an input query image is subsequently classified using the eigen eye feature space.
Keywords :
active vision; face recognition; feature extraction; optical tracking; real-time systems; 3D face orientation; active IR illumination; eigen eye feature space; geometric pupil distortions; input query image; monocular camera view; pupil tracking; real time 3D face pose discrimination; robust pupil detection; training data; Cameras; Computer science; Extraterrestrial measurements; Face detection; Facial features; Infrared detectors; Light emitting diodes; Lighting; Robustness; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1047458
Filename :
1047458
Link To Document :
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